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numpy.int64 type is not serialized correctly in Python 3.11 and Python 3.12 #33137

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merged 6 commits into from
Nov 18, 2024

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@liferoad liferoad commented Nov 17, 2024

Fixes #33020 and #33021. Basically, Beam should return TypeError like TypeError: Unable to deterministically encode '2000-01-01' of type '<class 'numpy.datetime64'>', please provide a type hint for the input of 'GroupByKey' [while running 'CreatePInput0/Map(decode)']. The user needs to define their own deterministic coder to use this type as the groupby key.

This is a hacky fix by checking whether __getstate__ returns reasonable results.


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@liferoad liferoad requested a review from damccorm November 18, 2024 15:40
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Thanks

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Failed workflows are not related to this PR.

@liferoad liferoad merged commit 22ea62c into apache:master Nov 18, 2024
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@@ -510,6 +510,9 @@ def encode_special_deterministic(self, value, stream):
stream.write_byte(NESTED_STATE_TYPE)
self.encode_type(type(value), stream)
state_value = value.__getstate__()
if value is not None and state_value is None:
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Why are we checking that value is not None here? I don't think we want to use this protocol for None.

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This just indicates __getstate__ might not be implemented. And we know this is true for this if checks.

@@ -510,6 +510,9 @@ def encode_special_deterministic(self, value, stream):
stream.write_byte(NESTED_STATE_TYPE)
self.encode_type(type(value), stream)
state_value = value.__getstate__()
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I am concerned that just checking that this value is not None is insufficient, as objects with custom pickling protocols can still use this method and the root object now defines a default for anything with dict or slots.

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I agree it is insufficient.

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robertwb added a commit to robertwb/incubator-beam that referenced this pull request Nov 18, 2024
robertwb added a commit to robertwb/incubator-beam that referenced this pull request Nov 18, 2024
robertwb added a commit that referenced this pull request Nov 18, 2024
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[Bug]: numpy.int64 types are not serialized correctly
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